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Working Group on Model-Based Clustering Summer Session: Perugia, July 16-22, 2017

The 24th Summer Working Group on Model-Based Clustering will be held in Perugia (Italy) from July 16 to July 22, 2017. It will start with an opening social event on Sunday July 16, sessions in the mornings Monday-Friday July 17-21, and a hike on Saturday July 22. The organizing committee this year consists of Charles Bouveyron, Gilles Celeux, Brendan Murphy, Adrian Raftery and Luca Scrucca.

Accomodations

The sessions will be at the Dipartimento di Giurisprudenza (room #7) of the UniversitÓ degli Studi di Perugia, and accomodation will be available close to the campus. Accommodation and travel details are available here.

Program

Working Group Sessions: Monday-Friday, July 17-21, 2017




Day Time Speaker Title








Monday (G. Celeux)
9:00-10:20 Mathias Drton, University of Washington The singular BIC and its application to selection of Gaussian mixture models



10:40-12:00 Christian Hennig, University College London Estimating the number of clusters in robust model-based clustering by an adequacy and approximation approach




Tuesday (A. Raftery)
9:00-10:20 Francesco Bartolucci, UniversitÓ di Perugia Stochastic block models for cross-sectional and longitudinal data: some methodological advances



10:40-10:55 Geoff McLachlan, University of Queensland A Parallel EM Algorithm for Fitting Mixtures of Skew Normal/t-distributions



11:00-11:15 Brendan Murphy, University College Dublin Handling missing data in model-based clustering



11:20-11:35 Marco Alf˛, UniversitÓ di Roma La Sapienza Endogeneity in longitudinal data modelling: a finite mixture based solution



11:40-11:55 Dimitris Karlis, Athens University of Economics and Business Model based clustering for discrete valued time series.



14:00-16:00 Poster session




Wednesday (B. Murphy)
9:00-10:20 Pierre Latouche, UniversitÚ Paris 1 The Dynamic Stochastic Topic Block Model



10:40-10:55 Adrian Raftery, University of Washington Adaptive Incremental Mixture MCMC



11:00-11:15 Tanzy Love, University of Rochester Mixed-membership topic models for text on a social network



11:20-11:35 Ricardo Rastelli, University College Dublin Choosing the number of groups in a latent stochastic block model for dynamic networks



11:40-11:55 Charles Bouveyron, UniversitÚ Paris Descartes The HDMI model for usupervised image denoising



14:00-16:00 Software session




Thursday (C. Bouveyron)
9:00-10:20 Andrea Rau, INRA Model-based clustering to identify co-expressed genes from high-throughput sequencing data



10:40-10:55 Luca Scrucca, UniversitÓ degli Studi di Perugia Boosting Gaussian Mixture Models for Classification



11:00-11:15 Francesca Greselin, UniversitÓ degli Studi di Milano New developments on robust estimation for mixtures



11:20-11:35 Pierre-Alexandre Mattei, UniversitÚ Paris Descartes Sparse and Interpretable Clustering with Mixtures of Globally Sparse PPCA



11:40-11:55 Gilles Celeux, INRIA Assessing model-based clustering methods with cytometry data sets




Friday (L. Scrucca)
9:00-10:20 Sylvia Richardson, MRC, University of Cambridge Semi supervised clustering: benefits and challenges.



10:40-12:00 Cinzia Viroli, UniversitÓ di Bologna Classification by quantiles




Last updated May 18th, 2017